{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:SAJXNITNMH2O6CVUZDRXS3WCNL","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"a71b5adda27ce381c23eede489809a5a0e72ddbfde9435edb3f05e7d81c930f4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-26T07:48:20Z","title_canon_sha256":"1c9be7632f32f5685203ab3b86d2fc371bfb01a2783838e9dff29b5bce751d90"},"schema_version":"1.0","source":{"id":"2409.17608","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.17608","created_at":"2026-05-26T02:03:47Z"},{"alias_kind":"arxiv_version","alias_value":"2409.17608v1","created_at":"2026-05-26T02:03:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.17608","created_at":"2026-05-26T02:03:47Z"},{"alias_kind":"pith_short_12","alias_value":"SAJXNITNMH2O","created_at":"2026-05-26T02:03:47Z"},{"alias_kind":"pith_short_16","alias_value":"SAJXNITNMH2O6CVU","created_at":"2026-05-26T02:03:47Z"},{"alias_kind":"pith_short_8","alias_value":"SAJXNITN","created_at":"2026-05-26T02:03:47Z"}],"graph_snapshots":[{"event_id":"sha256:4186f6851474889f20ea496e30586eacf5e0e82ba6da7a36176603f34cc2cd24","target":"graph","created_at":"2026-05-26T02:03:47Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2409.17608/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Video anomaly detection (VAD) often learns the distribution of normal samples and detects the anomaly through measuring significant deviations, but the undesired generalization may reconstruct a few anomalies thus suppressing the deviations. Meanwhile, most VADs cannot cope with cross-dataset validation for new target domains, and few-shot methods must laboriously rely on model-tuning from the target domain to complete domain adaptation. To address these problems, we propose a novel VAD method with a motion-guided memory module to achieve cross-dataset validation with zero-shot. First, we add ","authors_text":"Cheng Shi, Jiahao Lyu, Jing Hu, Minghua Zhao, Shuangli Du, Xuewen Huang, Zhiyong Lv","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-26T07:48:20Z","title":"Appearance Blur-driven AutoEncoder and Motion-guided Memory Module for Video Anomaly Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.17608","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:23010ab0f96210c999a86350cbd70d809fa19dc3d4224937f8cf589a7fa57583","target":"record","created_at":"2026-05-26T02:03:47Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"a71b5adda27ce381c23eede489809a5a0e72ddbfde9435edb3f05e7d81c930f4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-26T07:48:20Z","title_canon_sha256":"1c9be7632f32f5685203ab3b86d2fc371bfb01a2783838e9dff29b5bce751d90"},"schema_version":"1.0","source":{"id":"2409.17608","kind":"arxiv","version":1}},"canonical_sha256":"901376a26d61f4ef0ab4c8e3796ec26ad7d55a5d0c7fd00b066b2c25175da27c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"901376a26d61f4ef0ab4c8e3796ec26ad7d55a5d0c7fd00b066b2c25175da27c","first_computed_at":"2026-05-26T02:03:47.045355Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-26T02:03:47.045355Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"F5At6hfNquqg6aEiHTGaJW9pmIcdZqeEic736Z5TTD8tiOqbbYWdbyF6beGuWD6ZpobX3orDtzP6lq1Kdm6wDg==","signature_status":"signed_v1","signed_at":"2026-05-26T02:03:47.046184Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.17608","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:23010ab0f96210c999a86350cbd70d809fa19dc3d4224937f8cf589a7fa57583","sha256:4186f6851474889f20ea496e30586eacf5e0e82ba6da7a36176603f34cc2cd24"],"state_sha256":"75a69c8e5d49732230e81a961c898d7cd288cc982406364f933fec3cb3bbfb2e"}